Which type of applications rely on database servers to process and store data from sensors?

The choice indicating that mobile and IoT applications rely on database servers to process and store data from sensors is accurate because these types of applications are designed to collect, transmit, and utilize data generated by various sensors and devices. Mobile applications enhance user experiences by leveraging real-time data from sensors—like GPS for location or environmental data from smart devices.

IoT (Internet of Things) applications specifically cater to a broader range of interconnected devices, where sensors physically collect data from the environment. This data must be processed and stored efficiently, often requiring robust database servers that can handle vast amounts of incoming data. These servers enable the aggregation, analysis, and sharing of sensor data, which is crucial for functions such as monitoring, automation, and decision-making.

In contrast, while web applications, enterprise resource planning systems, and content management systems may interact with databases, they do not typically serve as primary operators of sensor data processing in the context specified in the question. Web applications generally refer to internet-hosted platforms, enterprise resource planning systems focus on business processes, and content management systems are primarily for managing digital content rather than processing sensor data specifically. Thus, mobile and IoT applications are uniquely positioned to utilize database servers for this purpose.